System and analytics for continuously assessing transport systems from sparse and noisy observations: Case study in Dublin

L. Gasparini, E. Bouillet, Francesco Calabrese, O. Verscheure, Brendan O'Brien, Maggie O'Donnell
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引用次数: 16

Abstract

This paper describes our implementation of an Intelligent Transportation System, built for the road administration authority at Dublin City Council. The system is able to ingest data from different sources, while providing updated speed and traffic flow measurements, travel time estimates and statistical aggregations of current traffic conditions in real-time to the user. The application is powered by IBM Infosphere Streams, which enables it to easily scale to hundreds of thousands of data points processed per second, while maintaining sub-second delay from data acquisition to delivery. In this work we provide an overview of the analytics and the application architecture used to deliver the required capabilities.
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从稀疏和嘈杂的观测中持续评估交通系统的系统和分析:都柏林的案例研究
本文描述了我们为都柏林市议会道路管理当局建立的智能交通系统的实现。该系统能够从不同来源获取数据,同时向用户实时提供最新的速度和交通流量测量、行驶时间估计和当前交通状况的统计汇总。该应用程序由IBM Infosphere Streams提供支持,这使其能够轻松扩展到每秒处理数十万个数据点,同时保持从数据采集到交付的亚秒级延迟。在本文中,我们概述了用于交付所需功能的分析和应用程序体系结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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